genomics

In the new age of big data, applications are leveraging large farms of powerful servers and extremely fast networks to access petabytes of data served for everything from data analytics to scientific discovery to movie rendering. These new applications demand fast and efficient storage, which legacy solutions are no longer capable of providing.

The evolution of genomics in recent decades has seen the volume of sequencing rise dramatically as a result of lower costs. Massive growth in the quantities of data created by sequencing has greatly increased analytical challenges, and placed ever-increasing demands on compute and storage infrastructure. Researchers have leveraged high-performance computing environments and cluster computing to meet demands, but today even the fastest compute environments are constrained by the lagging performance of underlying storage.

Pure Storage has significant expertise creating scalable, enterprise-class, flash-optimized storage platforms, and with FlashBlade, Pure Storage has crafted a turnkey, purpose-built platform that is well suited to cost effectively handle the performance and capacity requirements of genomics workflows. Pure Storage has differentiated itself from more established enterprise storage providers by delivering an industry-leading customer experience, as shown by its extremely high NPS, indicating it knows how to meet and is committed to meeting customer requirements. Whether genomics practitioners plan an on-premises deployment or a cloud-based deployment for their genomics workflows, they should consider the performance, cost, and patient care advantages of the Pure Storage FlashBlade when choosing a platform, particularly if they plan to retain data for a long time and use it frequently.

This benchmark report, the Data Genomics Index, encompasses a community of like-minded data scientists, industry experts, and thought leaders together with the purpose of better understanding the true nature of the unstructured data that we are creating, storing, and managing on a daily basis - a report on real storage environments’ composition.

The Data Genomics Index is a first-of-its-kind benchmark analysis of data stored within a typical enterprise environment. This report reveals insights into data growth, data age, and data type thereby providing organizations with the comparison standard for beginning to take action on their data.
In addition to the Index, Veritas has founded the Data Genomics Project. This community of likeminded data scientists, industry experts and thought leaders will come together to surface the true nature of enterprise environments, build the data-genome that matters for information management, and share the discussion with a world struggling to solve tremendous data growth challenges.

The emergence of genomics and advanced gene sequencing techniques has made the collection and storage of data a centerpiece of biomedical research. As the data generated in biomedical research becomes richer and richer, having the infrastructure in place to deal with data growth efficiently is going to be a cornerstone of biomedical data management. This white paper examines a joint solution that features data reduction technologies combined with a network-attached storage system that offers storage optimization capacities along with an affordable, manageable, and scalable petabyte-ready storage platform.

In terms of health care IT, what does the next five years look like? The IT team at Harvard Medical School — Partners HealthCare Center for Genetics and Genomics (HPCGG) has focused its efforts on building a viable IT foundation with the right hardware and innovative software. The team also hopes to ensure that IT is not a constraining factor in realizing the benefits of next-generation sequencing technologies. Read this white paper to learn how HPCGG is implementing a cost-effective storage system that can integrate with its existing cluster environment for exponentially faster data access.

In the world of biomedical research, particularly in the fields of genomics and personalized medicine, the exponential volumes of data created are rapidly overtaking conventional data storage technologies. In answer to this challenge, the next generation of petabyte-scale data storage technologies is here. Watch this archived Webinar to learn about affordable and easily scalable data storage solutions that are ready to partner with and facilitate the future of biomedical research breakthroughs.

This paper outlines some of the important considerations for encrypting data on tape, and is intended to help IT administrators make the right decision for their environment and their company's data security needs.

IBM Platform LSF family provides a complete set of workload management capabilities for demanding, distributed HPC environments. In this video, we will learn how a genomics workflow can be managed in a multi-architecture, hybrid-cloud environment with the IBM Platform LSF family. Featuring IBM Platform Application Center and IBM Process Manager, learn how these add-on products can help to drive productivity through easy-to-use interfaces for managing complex computational workflow.

With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning – as well as deep learning, natural language processing and cognitive computing – are driving innovations in identifying images, personalizing marketing campaigns, genomics, and navigating the self-driving car. This e-book provides a primer on these innovative techniques as well as 10 best practices and a checklist for machine learning readiness.